SPADnet (Fully Networked, Digital Components for Photon-starved Biomedical Imaging Systems) is a new collaborative research project funded by the European Union within the Information and Communication Technologies (ICT) Theme of its Seventh Research Framework Programme (FP7). The project, launched on July 1, is coordinated by École Polytechnique Fédérale de Lausanne (EPFL) and it includes seven leading European experts in image sensors, medical imaging and photonics. SPADnet was granted €3.7 million of funding over a 42 month period. SPADnet aims to develop a new generation of smart, CMOS-based large area networked image sensors for photon-starved biomedical applications, build ring-assembly modules for positron emission tomography (PET) imaging, and carry out performance tests in a PET evaluation system. While suited to applications offering repetitive measurement techniques, existing sensors are not well adapted to single-shot, rare events often occurring in diagnostic tools based on specific radiation detection, PET, SPECT, gamma cameras and other minimally invasive point-of-care tools. In addition, the relatively small field-of-view of existing sensors is a limiting factor. SPADnet's prime objective is to develop a scalable photonic component for large format, rare-event imaging. The core of the component will be a SPAD array implemented in CMOS. Large formats will be achieved by tessellating several tens of dies in abutment style, using innovative packaging techniques based on through-silicon vias (TSVs). The ability to stamp the time and position of each photon impingement in a burst event offers a second key advance. The concept of spatial oversampling is introduced, where a single measurement is partitioned into a myriad of submeasurements occurring simultaneously. The difference is that in space oversampling many SPADs will detect the same event independently, thus reducing the dead time on average by the number of detectors involved. The decomposition of the large format imager to a network of independent arrays is key to managing massive data streams. In conventional photomultiplier tubes or silicon photomultipliers, the sensitive device produces a stream of analog electrical pulses, whereas the photonic component proposed in this project will generate streams of precomputed digital data. The current state-of-the-art on interchip data exchange will be the basis for efficient data communication, in a true network communication style. Data packets will be routed in the network and will be handled on-demand. For example, coincidence mapping engines can be used in this context as snoopers on the data bus, thus considerably simplifying systems such as PET. For more information, visit: www.epfl.ch